DETECTION OF DEFECTS ON SELECTED APPLE CULTIVARS USING HYPERSPECTRAL AND MULTISPECTRAL IMAGE ANALYSIS

Author:

P. M. Mehl ,K. Chao ,M. Kim ,Y. R. Chen

Publisher

American Society of Agricultural and Biological Engineers (ASABE)

Subject

General Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-25

2. A hybrid image processing algorithm to examine diseases in citrus leaves and fruits;AIP Conference Proceedings;2024

3. Fruit Categorization and Quality Maintenance with Disease Detection using Machine Learning;International Journal of Advanced Research in Science, Communication and Technology;2022-04-13

4. An Improved DeepLab v3+ Deep Learning Network Applied to the Segmentation of Grape Leaf Black Rot Spots;Frontiers in Plant Science;2022-02-15

5. Technical vision system for apple defects recognition: justification, development, testing;Proceedings of the National Academy of Sciences of Belarus. Agrarian Series;2021-11-05

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